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DBMS > Amazon CloudSearch vs. Apache Druid vs. ArcadeDB vs. Google Cloud Spanner vs. Trafodion

System Properties Comparison Amazon CloudSearch vs. Apache Druid vs. ArcadeDB vs. Google Cloud Spanner vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Druid  Xexclude from comparisonArcadeDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Transactional SQL-on-Hadoop DBMS
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Websiteaws.amazon.com/­cloudsearchdruid.apache.orgarcadedb.comcloud.google.com/­spannertrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdruid.apache.org/­docs/­latest/­designdocs.arcadedb.comcloud.google.com/­spanner/­docstrafodion.apache.org/­documentation.html
DeveloperAmazonApache Software Foundation and contributorsArcade DataGoogleApache Software Foundation, originally developed by HP
Initial release20122012202120172014
Current release29.0.1, April 2024September 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java
Server operating systemshostedLinux
OS X
Unix
All OS with a Java VMhostedLinux
Data schemeyesyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingSQL-like query language, no joinsyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaGo
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnononoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlauthentication via encrypted signaturesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchApache DruidArcadeDBGoogle Cloud SpannerTrafodion
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